docstr: Tests whether the dataset_shard function works correctly with parallelism
  for reading the dataset.
docstr_tok: ["Tests","whether","the","dataset_shard","function","works","correctly","with","parallelism","for","reading","the","dataset","."]
code: def test_dataset_shard_with_task_parallelization(self):
      """Tests whether the dataset_shard function works correctly with parallelism
      for reading the dataset."""
      config = (
          AlgorithmConfig()
          .offline_data(
              input_="dataset",
              input_config={
                  "format": "json",
                  "paths": self.dset_path,
              },
          )
          .rollouts(num_rollout_workers=10)
      )
      NUM_WORKERS = 4
  
      _, shards = get_dataset_and_shards(
          config, num_workers=NUM_WORKERS
      )
  
      assert len(shards) == NUM_WORKERS + 1
      assert shards[0] is None
      assert all(
          isinstance(remote_shard, ray.data.Dataset)
          for remote_shard in shards[1:]
      )
  
imports: import tempfile
  import os
  from pathlib import Path
  import unittest
  import pytest
  import ray
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.offline import IOContext
  from ray.rllib.offline.dataset_reader import DatasetReader, get_dataset_and_shards, _unzip_if_needed
label_desc: Use image node_id 6 for calling the TestDatasetReader obj's underlying member method code with example usage: obj.test_dataset_shard_with_task_parallelization() without return types